• Korea Trade Review
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• v.48 no.4
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• pp.321-342
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• 2023

This study aims to derive policy implications by analyzing the experiences of Korean ICT startups that participated in the government's online export and trade consultation platform, designed to support ICT startups' overseas expansion during the COVID-19 pandemic. The research methodology involved the analysis of semi-structured, in-depth interviews with six startups who participated in an online export and trade consultation platform, using Giorgi's phenomenological methodology. The analysis resulted in the identification of ten subcategories, including two subcategories for each of the five categories. These categories and subcategories offer a comprehensive understanding of the experiences of ICT startups in navigating the online export and trade counseling platforms. The findings suggest that online export and trade consultation platforms for ICT startups offer efficiency benefits by reducing time and space constraints, but they also reveal limitations in terms of practical business continuity. This study holds academic and practical significance by providing insights into how ICT startups navigate online export and trade counseling platforms during the pandemic.

• Journal of Science and Technology Studies
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• v.18 no.1
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• pp.177-217
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• 2018

This study examines the case of living lab applied in the R&D initiatives for solving societal problems and challenges. It discusses how to use the living lab in national R&D projects. The analyzed cases are 'Develop portable fundus camera for eye disease screening test to resolve health inequalities' and 'Auto-sensing integrated system development in rural pedestrian crosswalk'. As a result of the analysis, both cases were designed as a user participatory R&D structure by utilizing living lab. In other words, living lab has operated as a system that evolves technology-products-services into an infrastructure. It can realize final demand specification, product, service improvement and demonstration through continuous interaction of end users. As a result of the case analysis, the following policy tasks can be derived. First, living lab is a new concept and it is in the early stage of implementation in Korea. Therefore, it is necessary to monitor and evaluate living lab experiments and build suitable models for Korean society by sharing cases and achievements. Second, the strategic niche management are necessary for the introduction of living lab. Third, living lab can be used as a tool to transform the existing technology acquisition centered innovation policy to the policy for customer needs and problem solving. Fourth, there is a need for flexibility and adaptability in strategy and system to correct errors that appear in the living lab processes.

• Journal of the Korean Applied Science and Technology
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• v.41 no.1
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• pp.119-127
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• 2024

The purpose of this study is a descriptive research study to identify the factors affecting the performance of infection control by general hospital nurses' empowerment and job burnout. The subjects collected data from September 15 to October 31, 2023 from a total of 210 nurses at a general hospital located in D city. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Sheffe, Pearson's correlation, and multiple regression using the SPSS/WIN 25.0 program. As a result of the study, empowerment and infection control performance showed a positive correlation, and empowerment was analyzed as the most influential factor in infection control performance with 14.8% of explanatory power. Therefore, it is necessary to reflect programs and policies to efficiently perform infection control that can improve the empowerment of nurses.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.485-493
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• 2014

The purpose of this study is to examine the statistical errors, which may occur in the process of applying statistics, by major stage of research, for greatly contributing to promoting research power through rightly utilizing statistics at the point of time that the application of statistics is increased in the research of clothing and textiles. As a result, it confirmed that there are many errors by each stage. First, it is a point that there was not any research that mentioned on the impact of analysis in the researches, which test the appearance of significance based on the collected data through experiment or survey. Second, the existence of mechanical description which is monotonous as well as not applying right analytical method in factor analysis. Also, even in case of cross tabulation, there was no hypothesis establishment.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.767-787
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• 2018

Technology-driven innovation and job-creation has each been the subject of much scholarly attention, but have largely been considered separately rather than in conjunction with each other. While the previous literature on economics pinpointed the macro effects on industry-level, this study explores the micro-level comparisons on innovation sources over the employment and financial performances. The PSM (propensity-score matching) analysis presents that firms, involved in an inward technology, tend to have higher employees with dominant technology capabilities than in-house R&D firms. The in-house R&D firms, on the contrary, have superior financial performances, suggesting that external technology commercialized firms suffer from low transformative efficiency. The mediation test analysis corroborates that the external technology-driven innovation induces more human resources in internalizing the exogenous technology. The positive relationship between R&D innovation and employment allow verification of the government's intervention in the promotion of technology commercialization in public sector. On the other hand, it also signals that the policy needs to enhance the recipient firms' commercializing capacity rather than a 'one-hit' transaction.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.303-311
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• 2019

This study to examine the effects of the convergence fundamental nursing program on nursing students' communication competence, interpersonal relationship, and compassion. One-group pretest-posttest design was used. The data were collected from 40 students in the second grade who took the fundamental nursing and fundamental nursing practice. The collected data were analyzed by descriptive statistics and paired t-test. As a result, it was significantly found that communication competence(t=-3.452, p=.001), understanding of interpersonal relationship(t=-5.405, p=<.001) and compassion(t=-7.226, p=<.001). The results of this study suggest that convergence fundamental nursing program of nursing students can contribute to nursing job competency improvement and necessity to apply them various major subjects.

• Journal of the Korean Applied Science and Technology
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• v.33 no.3
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• pp.529-539
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• 2016

Modeling can be used to understand the atmospheric dispersion of air pollutants scientifically. Recent development of model computation enabled to simulate more diverse area. As flowing out from the emission source, the concentration profiles of air pollutants could be estimated in three dimensional space. This study used CALPUFF diffusion model to predict the diffusion of discharged NO2 and TSP on the atmosphere near a combined heat power plant and incinerator. It was investigated contribution concentration of the surrounding area by sources by comparing the actual measurement results and the results of the modeling. Contribution of emission sources to the local level of NO2 was found quite high particularly at the site, A-3. The estimated results by modelling revealed more significant effect on TSP at A-5.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.5
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• pp.681-691
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• 2022

Zostera marina (ZM), a type of seagrass registered as a marine protected species in South Korea, provides valuable ecosystem services to humans, such as improving marine water quality, providing food, spawning grounds and habitats for marine life, and absorbing carbon dioxide. Therefore, the government is seeking to preserve ZM by designating ZM-protected areas. This study examined the public willingness to pay (WTP) for the preservation of ZM using contingent valuation. The one-and-one-half-bounded model was adopted for WTP elicitation, and the single-bounded model was also applied for comparison. The spike model was employed to deal with many zero WTP responses. The household average WTP was estimated as KRW 4,087 per year, securing statistical significance. The national value was KRW 84.1 billion per year. The preservation value of ZM estimated in this study can be used as important data for economic analysis of various projects or policy implementation for its preservation.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.607-641
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• 2017

Recently, there has been an increase in government-wide demand for technological cooperation between government funded research institutes (GFRIs) and small and medium-sized enterprises (SMEs), while there remain a tension between positive and negative views regarding the support given by GFRIs to encourage the technological innovation of SMEs. Although preceding studies have found that the support given by GFRIs to SMEs tends to have the effect of enhancing the technological innovation outcomes of SMEs, this study examines the question of why the agent that provides technological cooperation to SMEs should be limited to GFRIs. To answer this question, in this study, we first examined the qualitative changes in the external technological cooperation behavior of SMEs over time, from 2007 to 2014. Next, we performed cluster analysis to examine whether there were distinctive characteristics of SMEs that engage in technological cooperation with GFRIs, compared to the various other alternatives available as technological cooperation partners for SMEs. Lastly, to help us identify the characteristics of the companies that technologically cooperate with GFRIs and to facilitate the administrative or practical effort to find companies that would be strong candidates for technological cooperation with GFRIs, we used discriminant analysis to define a discriminant formula for such companies likely to engage in technological cooperation. The results of this study were as follows. First, GFRIs were the most competitive -- as demonstrated by the highest level of satisfaction, etc. - compared to the other alternatives for external technological cooperation available to SMEs. This confirmed the necessity for GFRIs to provide technological cooperation to SMEs. Secondly, the issue of whether the small and medium-sized enterprise had engaged in technological cooperation specifically with GFRIs was found not to be a very significant factor in distinguishing these companies. It was found, however, that SMEs engaged in technological cooperation were distinctive, regardless of the type of institution involved in the technological cooperation. Thirdly, SMEs that were in technological cooperation with GFRIs had the characteristics of being already active in joint research and already familiar with utilizing the systems available for governmental support. The findings of this study offers various insights relevant to establishing national R&D strategies using GFRIs and improving the efficiency of policies and administrative practices intended to help GFRIs assist SMEs.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.184-193
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• 2021

This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.